Artificial Intelligence

Experience

    • A global pharmaceutical company in an internal investigation into Al-related IP theft and data-loss prevention.
    • A global pharmaceutical company on Al governance and regulatory compliance issues across a decentralized collection of business units with distinct operational and regulatory risk profiles.
    • A major entertainment company and a Fortune 500 company in negotiations of agreements with Microsoft, OpenAI, AWS and/or Google related to generative AI services.
    • A Fortune 500 financial services company on EU Digital Operational Resilience Act and EU AI Act preparedness.
    • A major U.S. medical data provider on IP protection and Al licensing issues.
    • A multinational publishing company on licensing of non-fiction works for AI training and development.
    • A global fraud prevention platform in developing a comprehensive artificial intelligence ethics and governance framework, including relevant policies and procedures, governing committees, trainings, board briefings, and AI tabletop exercises.
    • A leading private equity firm concerning reputational, regulatory, operational, and governance risks related to artificial intelligence.
    • A major FinTech company on a broad range of artificial intelligence and data privacy issues concerning their use of machine learning and big data technologies, including related to the Fair Credit Reporting Act, the Gramm-Leach-Bliley Act, and the DFS cybersecurity regulation.
    • COSIS, Tuvalu, and the World Health Organization in advisory proceedings before the International Court of Justice concerning States’ obligations in respect of climate change.
    • The Securities Industry and Financial Markets Association in submitting a public comment letter concerning the Consumer Financial Protection Bureau’s advance notice of proposed rulemaking on consumer access to financial records.
    • A global media company on intellectual property issues related to the license of archival media content for AI training and development.
    • A major international bank in a comprehensive AI risk assessment for their artificial intelligence programs.
    • A leading financial institution with federal bank supervisory expectations concerning artificial intelligence and data governance.
    • A global online advertising platform in a federal regulatory inquiry concerning the use of machine learning algorithms.
    • An international pharmaceutical company on a comprehensive global review of Al governance.
    • A major professional sports league with respect to legal implications of potential uses of facial recognition and other biometric technologies.
    • Multiple clients in providing comments to draft state and federal legislation concerning artificial intelligence.
    • Multiple financial services companies in regulatory examinations and enforcement matters related to use and marketing of Al and machine learning.
    • Several large private equity firms on implementing AI policies, creating AI governance committees, responding to regulatory inquires on AI use, AI vendor risk management, AI training and risk management for portfolio companies.
    • Several large insurance companies on AI governance, regulatory compliance (including drafting Colorado AI certifications), risk assessments, AI policies, AI vendor management, bias assessments and training, AI incident playbooks, AI tabletop exercises, and board briefings on AI risk and oversight.